Using both minimum operational cost and mininum quantity of water lack in system as oljective functions, the two-level hierarchical optimization model of multi-reservoirs system are proposed.

The optimization operation model with the two-level hierarchical decomposition-coordination was established.

In this paper, the principle of the large-sc alesystem decomposition-coordination is applied to solve the problems of optimization water allocation system in the Qujing Irrigation District in Yunnan Provinceand the two-level hierarchical optimization model is established and solved bysimulation technique in combination with the optimization methods.

Hopfield Neural Network Model for Hierarchic Control Architecture;

In this paper,at the beginning,two levels hierarchic structure for urban traffic fuzzy control in an arterial road is proposed: At the first level,cycles and splits of the traffic lights are determined by means of fuzzy logic controllers; At the second level,offset between two adjacent intersections is determined by the fuzzy phase controller.

Model of iron & steel enterprises group strategy production scheduling & planning based on theory of hierarchical optimization;

The fire distribution of different kinds of anti-aircraft missile s fire cell in aerial defence is analyzed under the optimal target distribution tactic,and a model is established to solve the problem of hierarchical optimization.

To deal with the optimization control problem for large-scale systems using Hopfield network which easily converges local optimal solutions,hierarchical optimization network algorithm based on TCNN is proposed.

An improved adaptive genetic algorithm (AHGA) based on hierarchical structure for wavelet neural network is presented, which adopts hierarchical chromosomes and adaptive genetic operators.

This paper proposes an intelligent dispatching model with hierarchical structure based on multi-agent theory and technology in order to optimize operating scheming and to improve operating efficiency.

Considering the uncertain network-induced delay in networked control systems,a novel strategy of hierarchical multiple models switching was presented,in which hierarchical structure was adopted to reduce the communication through the shared band-limited network.

This article studies the basic functions and principals of EIA, the results of optimization the most used hierarchy structure in EIA are provided.

The hierarchical identification algorithm is proposed when H is unknown.

In view of the fact that mechanical resonance in the turntable servo system has serious effects on the whole system,this paper adopts hierarchical identification method with fewer quantity of computation to identify the plant containing mechanical resonance.

Furthermore, for cases where states are measurable, lifted system parameter matrices are identified using the least squares principle; for cases where states are unmeasurable, based on the hierarchical identification principle, a hierarchical state-space identification method is presented for estimating the unknown system parameters and states using the lifted dual-rate input-output data.